Find work in Canada.

493,559 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
Senior Software Developer, AI/ML GenAI, Google Cloud AI
Google
Waterloo, ON
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 1 month ago
HT
Researcher – Agent Platform R&D
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
Solid programming skills, proficiency in Python, familiarity with asynchronous programming, type systems, and engineering best practices. Experience maintaining or contributing to…
Added 1 month ago
HT
Researcher - Computer Network for AI
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
Expertise in AI infrastructure, HPC or data-center networking technologies, including but not limited to; RDMA, network protocol stack optimization, collective communication scheduling,…
Added 1 month ago
S
Software Engineering LMTS
Salesforce
Vancouver, BC
- Full-time
…them with high quality. Equally important is advanced prompt engineering - the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable,…
Added 1 month ago
T
Data Science Developer
Transit
Montreal, QC
- $90,000 to $125,000 CAD / year
- Full-time
These days, Transit is relied upon as the gold standard of transit data by riders and agencies alike. We’re looking for a senior developer who can bring a mix of analytical rigour and a…
Added 1 month ago
G
Python Fullstack Developer
Genpact
Montreal, QC
- $70,000 to $80,000 CAD / year
- Full-time
We are seeking a hands-on Full Stack Engineer with strong Python and frontend development experience to build technology platforms and business-facing applications. The individual will work…
Added 1 month ago
Senior Security Operations Engineer (Talent pool building)
League Inc.
Toronto, ON
League’s Security Engineering teams are responsible for scaling security in the development lifecycle and managing security incident management. We believe in security by design and follow…
Added 1 month ago
TT
Développeur(se) logiciel IA/Software Designer Sherlock AI
Teledyne Technologies Incorporated
Montreal, QC · Canada - Montreal, QC (TDY)
- Full-time
Développer, maintenir et optimiser des logiciels de qualité production principalement en C++ et Python.
Added 1 month ago
A
Data Engineer, Early Career - 2026 (CAN)
Amazon
Toronto, ON
- Full-time
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Added 1 month ago
N
Marketing Engineer & Director of AEO
Notified
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The ideal candidate is a highly technical organic growth operator who can code, work with APIs and data systems, and manage production agents that help Marketing, Content, Product,…
Added 1 month ago
W
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
- $184,000 to $272,000 USD / year
- Full-time
5+ years of software or infrastructure engineering, including tools or platforms used by other engineers and operating ML or data-intensive production systems.
Added 1 month ago
SI
R&D Engineering Intern
Stathera, Inc.
Vancouver, BC
- Full-time
…characterization, circuit design using Altium, test optimization, and data analysis, ultimately supporting the development of innovative…
Added 1 month ago
Software Engineer- Global Payments Engineering
Scotiabank
Toronto, ON
…developing, and implementing applications using Shell Scripting, Python, java technologies (e.g. SpringBoot, Hibernate, JPA, etc.) and majorly IBM Managed File Transfer to support business…
Added 1 month ago
TS
AI Engineer
Triunity Software
Halifax, NS
- $100,000 to $110,000 CAD / year
- Full-time
Strong understanding of data structures, algorithms, and software engineering principles
Added 1 month ago
TS
AI Engineer
Triunity Software
St. John's, NL
- $100,000 to $110,000 CAD / year
- Full-time
Build and maintain data pipelines to support model training and inference
Added 1 month ago
TS
AI Engineer
Triunity Software
Fredericton, NB
- $100,000 to $110,000 CAD / year
- Full-time
Build and maintain data pipelines to support model training and inference
Added 1 month ago
TS
AI Engineer
Triunity Software
Winnipeg, MB
- $100,000 to $110,000 CAD / year
- Full-time
Proficiency in Python and familiarity with software engineering best practices
Added 1 month ago
TS
AI Engineer
Triunity Software
Regina, SK
- $100,000 to $110,000 CAD / year
- Full-time
…a real impact. If you're passionate about machine learning, data, and innovation - we want to hear from…
Added 1 month ago
TS
AI Engineer
Triunity Software
Ottawa, ON · Ontario, ON
- $100,000 to $110,000 CAD / year
- Full-time
Build and maintain data pipelines to support model training and inference
Added 1 month ago
TS
AI Engineer
Triunity Software
Quebec, QC
- $100,000 to $110,000 CAD / year
- Full-time
Proficiency in Python and familiarity with software engineering best practices
Added 1 month ago
TS
AI Engineer
Triunity Software
AB · Edmonton, AB
- $100,000 to $110,000 CAD / year
- Full-time
Build and maintain data pipelines to support model training and inference
Added 1 month ago
TS
AI Engineer
Triunity Software
Victoria, BC
- $100,000 to $110,000 CAD / year
- Full-time
Familiarity with data engineering tools and SQL/NoSQL databases
Added 1 month ago
A
Staff / Lead Data Engineer - Bidding (Bangkok based, relocation provided)
Agoda
Toronto, ON
- Full-time
The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation…
Added 1 month ago
L
Senior Quality Engineer
LTM
Mississauga, ON
- Full-time
Strong experience in designing and implementing test automation frameworks using Selenium Appium Rest Assured Java Python and C across web mobile and API applications
Added 1 month ago
D
Backend Engineer, AI | Growth
Deel
Canada
- Full-time
…excellence. By leveraging AI as a co-pilot while maintaining strong engineering fundamentals, this role is essential for building scalable, production-grade features that drive business…

Transit

Data Science Developer

Montreal, QC, Canada

$90,000 to $125,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $90,000 to $125,000 CAD / year
Job type: Full-time
Apply by: Mar 23, 2027
Experience: 4+ years of professional experience as a data engineer or in a hybrid data engineering and data science role
Posting language: English
Posted: Sep 24, 2026

Original job description

Transit isn’t magic. But for millions of our riders, it sure feels that way!

For the last decade our data scientists have come up with increasingly elaborate ways to blow riders’ minds off their hinges - whether by improving their ETA predictions with statistical modelling, or crowdsourcing the location of underground trains using the motion sensors on their phones.

These days, Transit is relied upon as the gold standard of transit data by riders and agencies alike. We’re looking for a senior developer who can bring a mix of analytical rigour and a 1000W creative spark to show us whole new possibilities of what can be done with transit data in our 1100+ supported cities.

You’ll join our team as a two-way player. You’ll guard the pipelines and backend services which ferry data between transit servers and riders’ phones, and you’ll also dream up data experiments and perform exploratory analysis, statistical modelling, and pattern extraction. Ideally you’ve either (1) operated in this sort of hybrid working arrangement before; or (2) are a senior data engineer currently yearning for the (metaphorical) white lab coat that will let you conduct lots of “data science-y” experiments as part of your day-to-day.

By joining our team, you’ll help shape commuting patterns in over 40 countries, with each basis point of added precision resulting in fewer missed buses and trains. If you succeed in your mission? You’ll restore riders’ confidence in their local transit service, and help cities fulfill their potential by getting more of those pesky cars off the road!

Here’s what we’ll need on your end:

📝 Responsibilities

Own data products and features end-to-end: from problem framing and exploratory data analysis (EDA), through statistical modelling and pattern extraction, into pipelines, deployment, monitoring, and iteration
Using your battle-tested wisdom and analytical chops, help us design, build, deploy and monitor scalable backend services and data pipelines on Google Cloud Platform (BigQuery, Airflow, Pub/Sub, Cloud Run)
Run complex EDA and statistical analysis on Transit’s most interesting datasets (GPS traces, GTFS and GTFS-Realtime feeds, ridership signals, rider behaviour) and turn what you find into models, heuristics, and product improvements that get used in the app
Build production-grade machine learning systems for problems like ETA prediction, demand forecasting, and anomaly detection on real-time feeds
Own the full ML lifecycle from training through monitoring and retraining
Partner closely with our data scientists, product engineers, and DevOps folks and act as the bridge between research-grade ideas and rider-grade systems
Mentor newer developers on software craft and statistical thinking
Lead design reviews and help us maintain a culture of impeccable craftsmanship, reliability, and ingenuity
Champion engineering standards (testing, observability, DevOps, CI/CD) across our data and ML systems
Keep up-to-date with what’s happening on the frontier. We’re living in exciting times!

✅ Requirements

Regardless of whether you’re a hybrid data engineer-slash-scientist or a senior data engineer eager to cannonball into the data science side of things, to succeed in this role you’ll need to be a researcher at heart with strong engineering fundamentals. Our ideal candidate will have:

4+ years of professional experience as a data engineer or in a hybrid data engineering and data science role
Strong skills in Python (and ideally TypeScript), with a track record of owning backend systems and data pipelines end-to-end
Hands-on experience with cloud platforms, ideally GCP, with services like BigQuery, Pub/Sub, Cloud Run, and Dataflow
Solid foundations in statistics, EDA, and data modelling on large, messy, real-world datasets. You don’t need to have shipped advanced ML models, but you should already be analytically literate and clearly motivated to deepen this side of your craft
A demonstrated interest in data science work (share some notebooks!)
Comfort with relational and non-relational databases (PostgreSQL, Redis, etc.) at scale
Familiarity with Docker, Kubernetes, and modern CI/CD
You remember to include “Rage Against The Lachine” in the subject line of your email
Strong communication and collaboration skills across engineers, data scientists, product, and biz folks. You should be the kind of senior who makes the people around them better

💯 Would be nice if

Experience taking machine learning models from prototype to reliable production service (training, evaluation, deployment, monitoring, retraining)
Experience with feature stores, model registries, or modern MLOps tooling
Familiar with Airflow and other workflow orchestration tools
Geospatial, time-series, or streaming data experience at scale
Familiarity with public transit data standards (GTFS, GTFS-Realtime) or other mobility datasets
Background in experimental design (A/B testing, causal inference, robust evaluation)
Open-source contributions, conference talks, or technical writing - send us links, we want to see your thinking!

Don’t feel like all the requirements apply to you but you still think you’d be a great fit for Transit? Don’t hesitate to apply!

💰 Compensation and benefits

$90,000 - $125,000 CAD per year, based on experience

Stock options
RRSP/FHSA contributions
Comprehensive medical and dental coverage
5 weeks vacation
Four-day work week at full-time salary (yes, you read that right)
Apple laptop and equipment
$1,600 annual mobility allowance. STM? BIXI? Uber? E-bike? Scooter? Going car-free is free at Transit.
A training and development budget
Generous maternal/paternal/parental leave policy. Gotta fill out our tandem bicycles somehow!
Flexible work hours
Spend your days surrounded by first-rate teammates and the best view of Montreal and/or [insert exotic Zoom background]
When you’re in the office: you’ll be in urbanist heaven, surrounded by Mile End’s urban gardens, bike paths, BIXI docks, bus stops, a metro station, and limitless restaurants… cafés… bars… concert halls… bagel boutiques…
Communal lunch-and-learn with free food in the office each week

👨 💻 A note on diversity

Public transit is used by overwhelmingly more women and people of colour than other modes of transportation. We try to make sure the diversity of our users is reflected in the team that serves them. Because when we include people of all races, genders, sexual orientations, ages, and identities - we end up building a better app for everyone who uses Transit.

We encourage candidates of all ages, genders, origins and orientations to apply. If you’d like to specify which pronouns you use, feel free to include that in your application email.

And if your lived experience has given you a unique perspective on all things transportation, mobility, accessibility, urbanism? Let us know, and we’ll make sure your application gets the attention it merits.

📬 How to apply

Must be located in Montreal, or willing to relocate.

Shoot us an email at jobs+hybriddata@transitapp.com with:

Your resume
A quick summary of who you are and why you’re interested in the role
Some analysis you’ve done in the past (GitHub, Jupyter notebook, blog post, PDF, paper, whatever) that shows us how you think and what you can do

We look forward to meeting you!

PS: When you apply, let us know how you heard about the position! Whispers, grapevines, middle-of-the-night Google searches? We’re dying to know.

PPS: Unfortunately, we don't accept in-person applications or singing telegrams. Make your application sing instead!

Apply About employer

More about this job

Responsibilities

Own data products and machine learning systems end-to-end, from exploratory analysis and statistical modeling through production pipelines, deployment, monitoring, and iteration. Build and maintain scalable backend services on Google Cloud, collaborate across data science and engineering teams, and mentor developers while promoting reliable engineering practices.

Requirements

Requires at least four years of professional data engineering or hybrid data engineering and data science experience, strong Python skills, and experience owning backend systems and data pipelines. Candidates should have cloud-platform experience, statistical and exploratory analysis foundations, database and CI/CD familiarity, and strong communication and collaboration skills.

Skills

Python
TypeScript
Data Engineering
Data Science
Statistical Analysis
Exploratory Data Analysis
Machine Learning
Data Modeling
Backend Development
Data Pipelines
Google Cloud Platform
BigQuery
Airflow
Pub/Sub
Cloud Run
PostgreSQL

Benefits

Stock Options
RRSP/FHSA Contributions
Medical And Dental Coverage
Five Weeks Of Vacation
Four-Day Work Week At Full-Time Salary
Apple Laptop And Equipment
Annual Mobility Allowance
Training And Development Budget
Parental Leave
Flexible Work Hours
Weekly Communal Lunch And Learn With Free Food

Visa sponsorship

Not detected in the job text

Keywords

Python
TypeScript
Google Cloud Platform
BigQuery
Airflow
Pub/Sub
Cloud Run
Dataflow
PostgreSQL
Redis
Docker
Kubernetes
CI/CD
Data Engineering
Data Science
Exploratory Data Analysis
Statistical Modeling
Machine Learning
MLOps
ETA Prediction
Demand Forecasting
Anomaly Detection
Data Pipelines
Backend Services
GTFS
GTFS-Realtime
Geospatial Data
Time-Series Data
Streaming Data
A/B Testing

Report this job